Abstract
This paper presents a modelling and new composite recursive model free controller for trajectory tracking and disturbance compensation for the Anaerobic Digestion Process of cattle dung. The used model is on the basis of a fifth-order continuous anaerobic digestion model. And the proposed controller comprises a recursive model free controller based stabilization component and a time delay control based compensation component with recursive calculation structure which does not require any knowledge of the model parameters. Computer simulation examples illustrate the performance and robustness of the proposed approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Steyer, J.P., Estaben, M., Polit, M.: Fuzzy Control of an Anaerobic Digestion Process for the Treatment of an Industrial Wasterwater. In: Proc. 6th IEEE Inter. Conf., Fuzzy Systems, Barcelona, pp. 1245–1249 (1997)
Simeonov, I., Queinnec, I.: Linearizing control of the anaerobic digestion with addition of acetate (control of the anaerobic digestion). Control Eng. Practice 14, 799–810 (2006)
Diop, S., Simeonov, I.: A differential algebraic approach to anaerobic digestion estimation problems. In: Proc. 14th Mediterranean Conf. on Control and Automation, Ancona, pp. 1–5 (2006)
Deublein, D., Steinhauser, A.: Biogas from waste and renewable resources. An introduction. Wiley-VCH, Weinheim (2008)
Harmon, J., Pullamanapallil, P., Lyberatos, G., Svoronos, S.A.: Stabilization of a Continuous Glucose-Fed Anaerobic Digester via Feed Rate Control. In: Proc. Amer. Contr. Conf., pp. 2156–2160 (1990)
Pullammanappallil, P., Svoronons, S.A., Lyberatos, G.: Optimal Response of Anaerobic Digesters to Inhibitors Entering with the Feed. In: Proc. Amer. Contr. Conf., Boston, pp. 1341–1342 (1990)
Bastin, G., Dochain, D.: Non linear adaptive control algorithems for fermentation process. In: Proc. Amer. Contr. Conf., Atlanta, pp. 1124–1128 (1988)
Dochain, D.: Multivariable Adaptive Control of Nonlinear Completely Mixed Bioreactors. In: Proc. Amer. Contr. Conf., San Diego, pp. 2661–2666 (1990)
Petre, E., Selisteanu, D., Sendrescu, D.: Adaptive control strategies for a class of anaerobic depollution bioprocesses. In: Proc. IEEE Int. Conf. Automation, Quality and Testing, Robotics, Cluj-Napoca, pp. 159–164 (2008)
Antonelli, R., Harmand, J., Steyer, J.P., Astolfi, A.: Set-point regulation of an anaerobic digestion process with bounded output feedback. IEEE Trans. Contr. Syst. Technol. 11, 495–504 (2003)
Simeonov, I., Chorukova, E.: Neural networks modelling of two biotechnological processes. In: Proc. Second IEEE Int. Conf. Intelligent Systems, pp. 331–336 (2004)
Galvan-Guerra, R., Baruch, I.S.: Anaerobic digestion process identification using recurrent neural network model. In: Proc. Sixth Mexican Int. Conf. Artifical Intelligence, Aguascallentes, pp. 319–329 (2008)
Carlos-Hernandez, S., Mallet, G., Beteau, J.F., Sanchez, E.N.: A TS Fuzzy Observer for an anaerobic fluidized Bed. In: Proc. 2006 IEEE Inter. Conf. Fuzzy Systems, Vancouver, pp. 2299–2304 (2006)
Garrett, M.T.: Hydraulic control of activated sludge growth rate. Sewage & Ind. Wasters 30, 253–261 (1958)
Beck, M.B.: Identification, estimation and control of biological wasterwater treatment processes. IEE Proc. 133, 254–264 (1986)
Loeser, M., Redfern, M.A.: Overview of biomass conversion and generation technologies. In: Proc. 43rd Int. Universities Power Eng. Conf., Padova (2008)
Loeser, M., Redfern, M.A.: How small can micro-scale generation be? In: IEEE Electrical Power & Energy Conf. on Size Analysis of a Novel Biomass Power Plant, pp. 1–6 (2009)
Curry, N., Pillay, P.: Converting food waste to usable energy in the urban environment through anaerobic digestion. In: Proc. 2009 IEEE Electrical Power & Energy Conf., Montreal, pp. 1–4 (2009)
Dochain, D., Vanrolleghem, P.A.V.: Dynamical modeling and estimation in wasterwater treatement process. IWA Publ., London (2001)
Simeonov, I.: Dynamical modeling and estimation in wasterwater treatement process. In: Tzonkov, S. (ed.) ch. 2. Prof. M. Drinov Acad. Publ. House, Sofia (2010)
Koncar, V., Vasseur, C.: Control of linear systems using piecewise continuous systems. IEE Control Theory & Appl. 150, 565–576 (2003)
Wang, H.P., Vasseur, C., Koncar, V.: Piecewise continuous systems used in trajectory tracking of a vision based x-y robot. In: Novel Algorithms and Techniques Telecommunications, Automation and Industrial Electronics, pp. 255–260. Springer, Netherlands (2008)
Wang, H.P., Vasseur, C., Koncar, V., Chamroo, A., Christov, N.: Design and implementation of robust hybrid control of vision based underactuated mechanical nonminimum phase system. Studies in Informatics and Control 19, 35–44 (2010)
Wang, H.P.: Observation et commande par systèmes à fonctionnement par morceaux. Editions Universitaires Européennes, Sarrebruck, Allemagne (2011)
Youcef-Toumi, K., Fuhlbrigge, T.A.: Application of decentralized time delay controller to robot manipulators. In: Proc. IEEE Int. Conf. on Robotics and Automation, Scottsdale, pp. 1786–1791 (1989)
Youcef-Toumi, K., Shortlidge, C.C.: Control of robot manipulators using time delay. In: Proc. IEEE Int. Conf. on Robotics and Automation, Sacrament, pp. 2391–2398 (1991)
Cho, G.P., Chang, P.H., Park, S.H.: Robust Trajectory Control of Robot Manipulators Using Time Delay Estimation and Internal Model Concept. In: Proc. of 44th IEEE Conf. Decision and Control, and the European Control Conference (2005)
Isidori, A.: Nonlinear Control System, 3rd edn. Springer, London (1995)
Wang, H.P., Vasseur, C., Koncar, V., Christov, N.: Recursive model free controller used in MIMO nonlinear system’s trajectory tracking. In: Proc. 18th Mediterranean Conf. on Control and Automation, Marrakech, pp. 436–441 (2010)
Yordanova, S., Noikova, N., Petrova, R., Tzvetkov, P.: Neuro-Fuzzy Modelling on Experimental Data in Anaerobic Digestion of Organic Waste in Waters. In: Proc. IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Sofia, pp. 84–88 (2005)
Ahring, B.K. (ed.): Biomethanation. Springer, Heidelberg (2003)
Angelidaki, L., Ellegaard, L.E., Ahring, B.K.: Biotech. Bioeng 42, 159–166 (1993)
Batstone, D.J., Keller, J., Angelidaki, I., Kalyuzhnyi, S.V., Pavlostathis, S.G., Rozzi, A., Sanders, W.T., Siegrist, M.H., Vavilin, V.A.: Anaerobic digestion model no. 1 (ADM1). IWA Task Group for Mathematical Modelling of Anaerobic Digestion Processes. IWA, London (2002)
Lyberatos, G., Skiadas, I.V.: Global Nest. Int. J. 1, 63–76 (1999)
Simeonov, I., Momchev, V., Grancharov, D.: Water Research 30, 1087–1094 (1996)
Simeonov, I., Karakashev, D.: Mathematical modelling of the anaerobic digestion including the syntrophic acetate oxidation. In: Preprints 7th Vienna Internat. Conf. on Math. Modelling (MATHMOD), on CD (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Wang, H., Kalchev, B., Tian, Y., Simeonov, I., Christov, N. (2013). Modelling and Composed Recursive Model Free Control for the Anaerobic Digestion Process. In: Dumitrache, L. (eds) Advances in Intelligent Control Systems and Computer Science. Advances in Intelligent Systems and Computing, vol 187. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32548-9_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-32548-9_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32547-2
Online ISBN: 978-3-642-32548-9
eBook Packages: EngineeringEngineering (R0)